Advances in Machine Learning and Big Data Analytics

Nyhet

ICMLBDA 2024, NIT Kurkshetra, India, May 9–11

Inbunden, Engelska, 2026

Av Frank Lin, Ashokkumar Patel, Nishtha Kesswani

3 149 kr

Kommande

This volume presents the Proceedings of the International Conference on Advances in Machine Learning and Big Data Analytics (ICMLBDA 2024), held at NIT Kurukshetra, India, on 9–11 May 2024. Bringing together cutting-edge research at the intersection of machine learning and big data, the book highlights emerging trends, novel methodologies, and innovative applications across industries and academia.Designed for a broad audience—from software engineers and data scientists to machine learning practitioners—it provides valuable insights for professionals seeking to expand their expertise and stay ahead in fast-evolving technological landscapes.Equally relevant to the academic community, the volume serves as a resource for students, educators, and researchers in computer science, data science, and related fields. Whether used as a reference, a teaching supplement, or a source of inspiration for future work, this proceedings collection captures the current pulse of innovation in data-driven technology showcased at ICMLBDA 2024.

Produktinformation

Utgivningsdatum2026-03-20
Mått155 x 235 x undefined mm
FormatInbunden
SpråkEngelska
SerieSpringer Proceedings in Mathematics & Statistics
Antal sidor720
FörlagSpringer Nature Switzerland AG
ISBN9783032159694

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

Applications and Future Challenges of IoT Communication in 5G Network.- Long Range Water Management System Using LoRaWAN.- Automated Assessment of Facial Action Unit Models for Stress Prediction using Deep Learning Pipeline.- DEEP LEARNING BASED NASH LIVER STEATOSIS SEGMENTATION.- Proactive Fault Tolerance through VM Failure Prediction using Ensemble Method in Cloud.- Predicting Poor Compliance to Psychotropics in Children Using a Machine Learning Approach.- Micro-expression Recognition using Generative Adversarial Network-based Convolutional Neural Network.- Integration of Digital Twin, AI, and IoT in Smart Healthcare Systems.- Enhancing Cyberbullying Detection: A Stacked Ensemble Approach.- Optimizing MobileNetV2 Hyperparameters for Improved Adaptation to Iron Ore Microscopic Image Classification.- New Exact Travelling Wave Solution to Quantum Probability Based Ivancevic Option Pricing Model.- Improving Autism Spectrum Disorder Detection in Children: Leveraging Machine Learning Methods on Questionnaire Data.- Advancements in Text-to-Image Generation: An Augmented GAN Approach.- ARA-residual power series method for solving Allen-Cahn Equation arising in oil pollution.- Enhancing Transparency in Loan Approval: Exploring eXplainable AI for Bias Detection.- Empirical Comparison of Machine Learning and Deep Learning Models for Sensor Data-based Human Activity Recognition.- Smart Wearable for Quick Identification of Cardiac Arrest.- Simulation and Evaluation of BLDC Motor Control using Simulink for Efficient Fault Detection and Product Development for Medical Devices.- PCF-SPR Biosensor for WBC and RBC Detection with KNN Regression Approach.- Enhancing Patient Privacy in Healthcare Records: Handwriting Recognition and Anonymization Techniques for Medication Data.- IoT Network Traffic Analysis Using Ensemble Learning.- Android Malware Detection Using Function Analysis in Conjunction with Ensemble Techniques.- Image-To-Speech: Bridging Visual and Auditory Worlds.- Autonomous Vehicles Security Using Blockchain and Artificial Intelligence.- Performance Analysis of Filtering Approaches for News Recommendations.- Automatic Plant Disease Detection and classification Using Deep Learning Models.- Advancing Indoor Localization Accuracy: A Convolutional Neural Network Approach.- MedAI AnomalyPro: Advancing Unsupervised Anomaly Detection in Medical Imaging.- AUTOMATION MAPPING OF EVERGREEN FOREST AND LAND USE LAND COVER BY USING MACHINE LEARNING AND REMOTE SENSING.- Explainable AI-assisted Insightful Breast Cancer Identification using Ultrasound Images: A Deep Learning Approach.- FederatedPersona Health: Advancing Privacy-Preserving Federated Learning in Healthcare with Dynamic Adaptations.- Fake Currency Detection using CNN and Image Processing.- Literature Survey Analysis: Detection and Analysis of Indian News Media Bias Using Machine Learning.- Enhanced Underwater Fish Segmentation: A YOLOv8 Approach.- Advanced Surveillance Moving Object Segmentation using Superior Object Delineation with Artificial Hummingbird and Crayfish Optimization Algorithm.- Beyond Traditional Approaches: Customizing Modified Beam Search for Improved Visual Question Answering.- Transformer based Techniques for Emotion Recognition.- Analysis of Complex High Frequency Financial Data: A Hybrid Deep Learning Approach.- Brainwave Patterns and EEG Spectrograms: Leveraging Ensemble HBA Classifiers for Improved Analysis.- Comparative Analysis of Credit Card Fraud Detection Based on Metaheuristic Optimization.- Automated Decoding Emotions on Twitter: Advancing Text Analysis with Bidirectional GRU Models.- No Reference Quality Assessment Metric for Screen Content Images Using Structural and Contrast Features.- Designing of advanced intrusion detection mechanism for cyber attacks.- Voice-enabled chess game: A human-computer interaction approach.- A Machine Learning Approach for the Detection of Parkinson's Disease.- Weed Detection Using Deep Learning Techniques: A Survey.- Bearing Fault Classification of Vibration Signals using Correlation Coefficient and Support Vector Machine Classifier.- Local Binary Pattern and Principle Component Analysis Based Diagnosis of Alzheimer’s Disease.- A comparative analysis of real-time facial emotion recognition algorithms.- DeepFoliage A Framework For Multi Label Foliar Disease Classification Using Deep Learning.- Securing 5G Network Slices Using Federated Learning.- Automated Polyp Detection utilizing YOLO V8 and deepSORT on colonoscopy videos.- Impact of Few-shot Learning on Covid19 Sentiment Analysis Dataset.- PRECISION WEED IDENTIFICATION IN COTTON FIELDS USING IMAGE SEGMENTATION.- Detection and Classification of Power Quality Disturbances using Supervised Learning Technique.- Lightweight Single Framework for Creating Sparse Generative Pretrained Transformers of Diverse Applications Using Custom Datasets.- Enhanced Image Captioning using Scene Text - A Holistic Survey.- New Route Discovery Algorithm in Delay Tolerant Network for Post Disaster Management.- Boosting Adversarial Robustness: Evaluating Adversarial Training on UC Merced Dataset with Interpretations.- Guarding the Inbox: Enhancing Email Security with Firefly Optimization Algorithm and Fuzzy Logic for Phishing Detection.- IoT Network Security: A Robust Framework for Cyber-attack Detection through Feature Selection and Majority Voting Ensemble Classifier.- Image Caption Generator Using Deep Learning.- Examine the Impact of COVID-19 on Tourism in Oman Using Machine Learning Techniques.- Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy.- Index.